Intrinsic Anomaly Detection for Multi-Variate Time Series

S Rabanser, T Januschowski, K Rasul… - arXiv preprint arXiv …, 2022 - arxiv.org
We introduce a novel, practically relevant variation of the anomaly detection problem in multi-
variate time series: intrinsic anomaly detection. It appears in diverse practical scenarios …

Root cause analysis of anomalies based on graph convolutional neural network

Z Li, Y Tu, Z Ma - International Journal of Software Engineering and …, 2022 - World Scientific
With the gradual increase of network complexity and network scale in the cloud
environment, Root Cause Analysis (RCA) of node failures has become a systematic problem …

Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph

Z Yao, C Pei, W Chen, H Wang, L Su, H Jiang… - … Proceedings of the …, 2024 - dl.acm.org
This paper presents Chain-of-Event (CoE), an interpretable model for root cause analysis in
microservice systems that analyzes causal relationships of events transformed from multi …

Root cause analysis in 5g/6g networks

D Canastro, R Rocha, M Antunes… - … on Future Internet of …, 2021 - ieeexplore.ieee.org
Network Softwarization, the process by which network equipment's are being replaced by
software running in a cloud environment, is playing an important role in the transformation of …

Fault Detection Based on Causal Discovery and Graph Convolutional Network for Complex Mechatronic Systems

C Wang, J Liu - IEEE Transactions on Reliability, 2024 - ieeexplore.ieee.org
Detecting precisely any incipient fault is of critical importance for a mechatronic system,
which may improve its safety, availability, and maintainability. However, high dimensionality …

Improved data-driven root cause analysis in fog computing environment

C Bulla, MN Birje - Journal of Reliable Intelligent Environments, 2022 - Springer
Abstract Internet of Things (IoT) and cloud computing are used in many real-time smart
applications such as smart health-care, smart traffic, smart city, and smart industries. Fog …

Failure root cause analysis for microservices, explained

J Soldani, S Forti, A Brogi - IFIP International Conference on Distributed …, 2022 - Springer
Determining the root causes of observed failures is a main issue in microservice-based
applications. Unfortunately, available root cause analysis techniques do not focus on …

[PDF][PDF] Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids.

K Schreiberhuber, M Sabou, FJ Ekaputra, P Knees… - NeSy, 2023 - cs.ox.ac.uk
In complex systems, such as smart grids, explanations of system events benefit both system
operators and users. Deriving causality knowledge as a basis for explanations has been …

Root Cause Analysis for Cloud-native Applications

B Żurkowski, K Zieliński - IEEE Transactions on Cloud …, 2024 - ieeexplore.ieee.org
Root cause analysis (RCA) is a critical component in maintaining the reliability and
performance of modern cloud applications. However, due to the inherent complexity of cloud …

[PDF][PDF] AmazeMap: 一种基于多层次影响图的微服务故障定位方法

李亚晓, 李青山, 王璐, 姜宇轩 - 软件学报, 2024 - jos.org.cn
微服务软件系统由于其具有大量复杂的服务依赖关系和组件化模块, 一个服务发生故障往往造成
与之相关的一个或多个服务发生故障, 导致故障定位的难度不断提高. 因此 …